Articles | Volume 17, issue 2
https://doi.org/10.5194/nhess-17-225-2017
https://doi.org/10.5194/nhess-17-225-2017
Research article
 | 
21 Feb 2017
Research article |  | 21 Feb 2017

Dealing with deep uncertainties in landslide modelling for disaster risk reduction under climate change

Susana Almeida, Elizabeth Ann Holcombe, Francesca Pianosi, and Thorsten Wagener

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Latest update: 15 Jul 2024
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Short summary
Landslides threaten communities globally, yet predicting their occurrence is challenged by uncertainty about slope properties and climate change. We present an approach to identify the dominant drivers of slope instability and the critical thresholds at which slope failure may occur. This information helps decision makers to target data acquisition to improve landslide predictability, and supports policy development to reduce landslide occurrence and impacts in highly uncertain environments.
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